CompTIA Data+ (DA0-001) — Question 182

Which of the following would be the BEST way to identify multicollinear attributes in a data set?

Answer options

• A. Correlation coefficient
• B. Chi-squared test
• C. Two-sample t-test
• D. Two-way ANOVA

Correct answer: A

Explanation

The correlation coefficient is the most suitable choice for identifying multicollinearity, as it measures the strength and direction of a linear relationship between two variables. The other options, such as the Chi-squared test, two-sample t-test, and two-way ANOVA, are not designed for assessing multicollinearity and serve different statistical purposes.